Saliency-based Cerebellar Parcellation

The Human Connectome Project minimally preprocessed young adult dataset imaging data and associated NIH toolbox measures are used to train a deep learning model to predict individual functional performance measures from structural features.

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Cite this as

Ari Tchetchenian, Leo Zekelman, Yuqian Chen, Jarrett Rushmore, Fan Zhang, Edward H. Yeterian, Nikos Makris, Yogesh Rathi, Erik Meijering, Yang Song (2024). Dataset: Saliency-based Cerebellar Parcellation. https://doi.org/10.57702/gywmyqn1

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2407.15132
Author Ari Tchetchenian
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Leo Zekelman
Yuqian Chen
Jarrett Rushmore
Fan Zhang
Edward H. Yeterian
Nikos Makris
Yogesh Rathi
Erik Meijering
Yang Song
Homepage https://github.com/SlicerDMRI/DeepMSP